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Bachelor of Computer Science (Hons) (Artificial Intelligence)
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APU-DMU DUAL DEGREE PROGRAMME | |
MORE THAN JUST A COMPUTER SCIENCE DEGREE
APU's Bachelor of Computer Science (Hons) (Artificial Intelligence) degree is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0. |
ADMISSION REQUIREMENTS
GENERAL REQUIREMENTS | |
| DIRECT ENTRY TO LEVEL 1 OF THE DEGREE: | |
| STPM | • 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject. |
A-LEVEL | • 2 Passes (Grade A-D) in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. |
| UEC | • 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject. |
FOUNDATION/ | • A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent. Note: The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.
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| DIRECT ENTRY TO LEVEL 2 OF THE DEGREE: | |
| ICT RELATED DIPLOMAS | • Diploma with a minimum CGPA of 2.50. Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board. |
The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA). The qualification and entry requirements for the programmes will be determined based on the "Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)" published by Malaysian Qualifications Agency (MQA).
| ENGLISH REQUIREMENTS | |
INTERNATIONAL STUDENTS | • IELTS : 5.0 |
PROGRAMME OUTLINE
This programme is specifically designed to provide students with:
- The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
- The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
- The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence.
DEGREE LEVEL 1 |
Students will learn fundamental skills required by every IT professional, and the basic understanding of artificial intelligence techniques and algorithmnic thinking. Some specialised modules will provide them basic knowledge of underlying computer systems such as Computer Architecture, operating systems, networks and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.
COMMON MODULES | |
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SPECIALISED MODULES | |
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DEGREE LEVEL 2 |
A broader range of skills will be learnt, in which the students will gain a better understanding of artificial intelligence techniques such as machine learning, fuzzy logic, and natural language processing. They will gain solid understanding of techniques used to develop complex software systems that include data acquisitions via various sensors. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.
COMMON MODULES | |
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SPECIALISED MODULES | |
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INTERSHIP (16 weeks) |
Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.
DEGREE LEVEL 3 |
Students will make use of their previous studies and industrial experience to extend their familiarity in the field of intelligent systems and to refine their personal and professional development. Students will move further into artificial intelligence design paradigms and algorithms, programming techniques and statistical techniques applicable to artificial intelligence. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.
COMMON MODULES | |
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SPECIALISED MODULES | |
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MQA COMPULSORY SUBJECTS* |
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(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.) | |
CAREER OPTIONS
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COURSE FEES
Malaysian Students | International Students |
Year 1: RM 32,900 | Year 1: RM 33,600 (USD 7,815) |
* Fees stated here do not include Deposits and other Miscellaneous Fees. Please refer to Fee Guide for details.
MQA ACCREDITATION
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(R2/0613/6/0041)(06/29)(MQA/FA4621) |
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